Quartz-Seq2

Quartz-Seq2 is a high-throughput single-cell RNA-sequencing method (using Cell sorter, UMI, Cell barcoding, and 384 well-plate). If you need to detect full-length total RNA in single-cell level, please see RamDA-seq page.

Protocol

Video Tutorial

A cryopreservation step of 384 multiwell plates just after single cell sorting.

How to assemble collector unit for pooling of cell-barcoded cDNA.

Data

Accessories

FAQ

Q1. What do you mean “distance of SeqLv was 5”?

A1. SeqLv means Sequence Levenshtein distance. “edit distance 5” indicates that two deletions, insertion, or mismatch of cell barcode can be informatically corrected. There is a similar distance, so-called Humming distance to SeqLv. However, Humming distance can not correct two deletions or insertion in cell barcode sequences.


Q2. Could you clarify the composition of the TdT buffers RH55 and T55 in your Quartz-Seq2 paper? 

A2. Please see as follows. T100 is available as 1xThermopol Buffer from NEB company. RH100 is available as 1xRNase H buffer from NEB company.

T10020mM Tris-HCl (pH8.8), 10mM (NH4)2SO4, 10mM KCl, 2mM MgSO4, 0.1% Triton X-100
T5511mM Tris-HCl (pH8.8), 5.5mM (NH4)2SO4, 5.5mM KCl, 1.1mM MgSO4, 0.055% Triton X-100
RH10050mM Tris-HCl (pH 8.3), 75mM KCl, 3mM MgCl2, 10mM DTT
RH5527.5mM Tris-HCl (pH 8.3), 41.25mM KCl, 1.65mM MgCl2, 5.5mM DTT

Q3. Where can I buy a metal frame for spin-down collection system? (Fig. S4A)

A3. Please contact Yakukensha (Mr. Goro Kamijo <g-kamijo@yakukensha.co.jp>). After the metal frame will arrive in your lab, you must perform operation-check for metal frame as follows.

Operation check:
Swing, 4ºC, 1500g, 10min (Metal frame + One well reservoir + 384 well PCR plate)
Swing, 4ºC, 2000g, 10min (Metal frame + One well reservoir + 384 well PCR plate)
Swing, 4ºC, 2500g, 10min (Metal frame + One well reservoir + 384 well PCR plate)
Swing, 4ºC, 3000g, 10min (Metal frame + One well reservoir + 384 well PCR plate)


Q4. Could you show the list of reagents for Quartz-Seq2?

A4. Please see following file. Additional file 4: Table S3.


Q5. Can I change from X reagent to Y reagent in Quartz-Seq2?

A5. No. It is no longer Quartz-Seq2. We cannot support your original scRNA-seq method 🙂


Q6. Which should I use 384 multiwell plate?

A6. We strongly recommend twin.tec PCR Plate 384 clear (0030 128.508, Eppendorf).


Q7. What is the byproduct of whole-transcript amplification in Quartz-Seq2? Can I remove the byproduct from amplified cDNA?

A7. It has been reported that byproducts could be synthesized from reverse-transcription (RT) primers in poly-A tagging-based methods, including Quartz-Seq2. Almost RT primers can be removed at cDNA purification step. Therefore, there is no byproduct in amplified cDNA, typically. If you observe the byproduct, please remove the byproduct by additional purification with 0.6-0.7x Ampure XP beads.


Q8. How do we correct cell barcode in Quartz-Seq2?

Please use correct_barcode. If you should de-multiplex of a fastq file from Quartz-Seq2, please use demultiplexer_quartz-seq2. We don’t recommend to demultiplex a fastq file of Quartz-Seq2. Typical pipeline for high throughput scRNA-seq, including Drop-seq pipeline or CellRenger, require a fastq file before demultiplexing.

Q9. Show us the schematic representation of sequence library preparation for Quartz-Seq and Quartz-Seq2.

Please see the bellow figure.

Citation

  1. Yohei Sasagawa, Hiroki Danno, Hitomi Takada, Masashi Ebisawa, Kaori Tanaka, Tetsutaro Hayashi, Akira Kurisaki, Itoshi Nikaido. Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads. Genome Biology 2018 19:29
  2. Yohei Sasagawa, Tetsutaro Hayashi and Itoshi NikaidoStrategies for converting RNA to amplifiable cDNA for single-cell RNA sequencing methods. Single Molecular and Single Cell SequencingAdvances in Experimental Medicine and Biology. Springer (Invited review). Apr 10 2019.
  3. Elisabetta Mereu, Atefeh Lafzi, Catia Moutinho, Christoph Ziegenhain, Davis J.MacCarthy, Adrian Alvarez, Eduard Batlle, Sagar, Dominic Grün, Julia K. Lau, StéphaneBoutet, Chad Sanada, Aik Ooi, Robert C. Jones, Kelly Kaihara, Chris Brampton, YashaTalaga, Yohei SasagawaKaori TanakaTetsutaro HayashiItoshi Nikaido, Cornelius Fischer, Sascha Sauer, Timo Trefzer, Christian Conrad, Xian Adiconis, Lan T. Nguyen, Aviv Regev, Joshua Z. Levin, Aleksandar Janjic, Lucas E. Wange, Johannes W. Bagnoli, Swati Parekh, Wolfgang Enard, Marta Gut, Rickard Sandberg, Ivo Gut, Oliver Stegle, Holger Heyn. Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects. bioRxiv. (submitted)

Media

RIKEN press release (Japanese). 2018/03/13.

RNA-seq blog. 2018/03/13.

RIKEN press release. 2018/5/15.

Contact

support-bit (at) riken (dot) jp